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CREATOR TOOLS SOURCE-BACKED TECHNICAL

Show HN tool finds satellite passes over any place in the past 7 days and pulls their images

A post on Hacker News' front page describes a Show HN project that lets users type in any place and find every satellite that passed over it in the last 7 days. According to the post, the search uses SGP4 on the CelesTrak catalog and runs in the browser in about half a second. It then pulls images from those passes, including Sentinel-2, Landsat and NASA imagery. The author says the pass search cannot skip a pass and reports checking it against a brute-force method.

Source: Hacker News Front Page · watched.earth Published 2026-11-09T17:51:31+00:00 Detected 2026-11-10T06:28:15+00:00
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A post on Hacker News' front page describes a Show HN project that lets users type in any place and find every satellite that passed over it in the last 7 days. According to the post, the search uses SGP4 on the CelesTrak catalog and runs in the browser in about half a second. It then pulls images from those passes, including Sentinel-2, Landsat and NASA imagery. The author says the pass search cannot skip a pass and reports checking it against a brute-force method.

AI-assisted summary based on the listed source.

hey HN, i built this because i wanted to know what had actually photographed my street. type in any place and it finds every satellite that passed over it in the last 7 days (SGP4 on the CelesTrak catalog, runs in your browser in about half a second), then pulls the real Sentinel-2 / Landsat / NASA images from...

The project is not directly about AI chips, but it shows how public satellite catalogs and imagery archives can be searched directly in a browser. People interested in Earth observation data, or anyone who wants to know which satellites imaged a location, could find the approach useful. Next, watch whether the author's accuracy claims hold up under outside testing, since the post is a self-reported project.

Signal Strength 88% Technical label SOURCE-BACKED Public Interest 23 Category CREATOR TOOLS Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 30 Curiosity Score 0 Shareability Score 41

VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Hacker News Front Page.